Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2018-01, Vol.10 (2), p.100
• Main Authors: Guo, Qiaoying, Xu, Xiazhen, Zhang, Kangyu, Li, Zhengquan, Huang, Weijiao, Mansaray, Lamin, Liu, Weiwei, Wang, Xiuzhen, Gao, Jian, Huang, Jingfeng
• Format: Article
• Language: English
• Subjects: ASCAT; global ocean; QuikSCAT; wind energy resources; WindSAT
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs10010100

Wind energy, as a vital renewable energy source, also plays a significant role in reducing carbon emissions and mitigating climate change. It is therefore of utmost necessity to evaluate ocean wind energy resources for electricity generation and environmental management. Ocean wind distribution around the globe can be obtained from satellite observations to compensate for limited in situ measurements. However, previous studies have largely ignored uncertainties in ocean wind energy resources assessment with multiple satellite data. It is against this background that the current study compares mean wind speeds (MWS) and wind power densities (WPD) retrieved from scatterometers (QuikSCAT, ASCAT) and radiometers (WindSAT) and their different combinations with National Data Buoy Center (NDBC) buoy measurements at heights of 10 m and 100 m (wind turbine hub height) above sea level. Our results show an improvement in the accuracy of wind resources estimation with the use of multiple satellite observations. This has implications for the acquisition of reliable data on ocean wind energy in support of management policies.